Tribological wear optimization of AlN strengthened with AA2024 composites through Taguchi technique
Year: 2025
Type: article
Abstract: ABSTRACT The intent of the existing research was to examine the tribological characteristics of AA2024/Aluminium Nitride (AlN), synthesized through stir casting route (SCR). The composite specimens were developed at various amounts of (0, 5, 10 and 15 wt.%) AlN particles (P). The pin-on-disc (POD) wear tester was used to predict the wear of the proposed Metal Matrix Composites (MMCs). The experiments were performed by considering three variables such as load (LD), sliding velocity (SV) and sliding distance (SD). Taguchi procedure has been applied to propose the plan of experiments and tests were executed as per L16 orthogonal array (OA) layout. Signal-to-noise (S/N) ratio were used to establish the optimal site of variables in order to obtain lesser wear rate (WR) and co-efficient of friction (CF) for the tested composites. The impact of parameters on WR and CF were analyzed by analysis of variance (ANOVA). The examinations found that the ‘LD’ has more dominant factor on WR with a contribution of 75.86%, and the wt.% of P has more influence on CF with a contribution of 75.06%, respectively.
Source: Matéria (Rio de Janeiro)
Authors: Rajasekaran Senthil, Vinayagam Mohanavel, Thandavamoorthy Raja, Mohammed Ali
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409165852